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detpack
View on CRAN: Click
here
Download and install detpack package within the R console
Install from CRAN:
install.packages("detpack")
Install from Github:
library("remotes")
install_github("cran/detpack")
Install by package version:
library("remotes")
install_version("detpack", "1.1.3")
Attach the package and use:
library("detpack")
Maintained by
Daniel Meyer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-17
Latest Update: 2019-07-24
Description:
Density estimation for possibly large data sets and conditional/unconditional random number generation or bootstrapping with distribution element trees. The function 'det.construct' translates a dataset into a distribution element tree. To evaluate the probability density based on a previously computed tree at arbitrary query points, the function 'det.query' is available. The functions 'det1' and 'det2' provide density estimation and plotting for one- and two-dimensional datasets. Conditional/unconditional smooth bootstrapping from an available distribution element tree can be performed by 'det.rnd'. For more details on distribution element trees, see: Meyer, D.W. (2016) or Meyer, D.W., Statistics and Computing (2017) and Meyer, D.W. (2017) or Meyer, D.W., Journal of Computational and Graphical Statistics (2018) .
How to cite:
Daniel Meyer (2018). detpack: Density Estimation and Random Number Generation with Distribution Element Trees. R package version 1.1.3, https://cran.r-project.org/web/packages/detpack. Accessed 21 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for detpack
Functions, R codes and Examples using
the detpack R package
Some associated functions: allequal . chi2indeptest . chi2testlinear . chi2testtable . chi2testuniform . contourRect . de.split . det.construct . det.cut . det.de . det.leafs . det.query . det.rnd . det1 . det2 . detpack . dimstosplit .
Some associated R codes: det1.R . det2.R . detconstruct.R . detleafs.R . detpack.R . detquery.R . detrnd.R . testing.R . Full detpack package functions and examples
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